MRI Denoising using Non Local Means
Magnetic Resonance (MR) images are affected by random noise which
limits the accuracy of any quantitative measurements from the data. We
have analyzed and adapted a recently proposed filter for random
noise removal in MR magnitude images.
This parametric filter, named Non-Local Means (NLM), is highly
dependent on the setting of its parameters. We have experimentally
found the optimal parameter selection for MR magnitude image
denoising. Besides, the filter has been
adapted to fit with specific characteristics of the noise in MR image
magnitude images (i.e. Rician noise). From the results over synthetic
and real images we think that this filter can be successfully
used for automatic MR denoising.
Details can be found in:
José Carbonell-Caballero, Juan J. Lull, Gracián
García-Martí, Luís Martí-Bonmatí,
Montserrat Robles. MRI denoising using Non Local Means. Medical Image Analysis, Medical
Image Analysis, 12(4):514-23,
Figure 1: Example UNLM denoising.
Demo images and the source code of the method can be found here.
We'd like to know who is using the code, so we would appreciate it if
you would provide us with the following information: